GSTDTAP  > 气候变化
DOI10.1088/1748-9326/ab7391
Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region
Hannun, Reem A.1,2; Wolfe, Glenn M.1,2; Kawa, S. Randy1; Hanisco, Thomas F.1; Newman, Paul A.1; Alfieri, Joseph G.; Barrick, John4; Clark, Kenneth L.5; DiGangi, Joshua P.4; Diskin, Glenn S.4; King, John6; Kustas, William P.3; Mitra, Bhaskar7; Noormets, Asko7; Nowak, John B.4; Thornhill, K. Lee4; Vargas, Rodrigo8
2020-03-01
发表期刊ENVIRONMENTAL RESEARCH LETTERS
ISSN1748-9326
出版年2020
卷号15期号:3
文章类型Article
语种英语
国家USA
英文摘要

The exchange of carbon between the Earth's atmosphere and biosphere influences the atmospheric abundances of carbon dioxide (CO2) and methane (CH4). Airborne eddy covariance (EC) can quantify surface-atmosphere exchange from landscape-to-regional scales, offering a unique perspective on carbon cycle dynamics. We use extensive airborne measurements to quantify fluxes of sensible heat, latent heat, CO2, and CH4 across multiple ecosystems in the Mid-Atlantic region during September 2016 and May 2017. In conjunction with footprint analysis and land cover information, we use the airborne dataset to explore the effects of landscape heterogeneity on measured fluxes. Our results demonstrate large variability in CO2 uptake over mixed agricultural and forested sites, with fluxes ranging from -3.4 0.7 to -11.5 1.6 mu mol m(-2) s(-1) for croplands and -9.1 1.5 to -22.7 3.2 mu mol m(-2) s(-1) for forests. We also report substantial CH4 emissions of 32.3 17.0 to 76.1 29.4 nmol m(-2) s(-1) from a brackish herbaceous wetland and 58.4 12.0 to 181.2 36.8 nmol m(-2) s(-1) from a freshwater forested wetland. Comparison of ecosystem-specific aircraft observations with measurements from EC flux towers along the flight path demonstrate that towers capture similar to 30%-75% of the regional variability in ecosystem fluxes. Diel patterns measured at the tower sites suggest that peak, midday flux measurements from aircraft accurately predict net daily CO2 exchange. We discuss next steps in applying airborne observations to evaluate bottom-up flux models and improve understanding of the biophysical processes that drive carbon exchange from landscape-to-regional scales.


英文关键词airborne eddy covariance CO2 and CH4 fluxes biosphere-atmosphere exchange
领域气候变化
收录类别SCI-E
WOS记录号WOS:000521170500001
WOS关键词CARBON-DIOXIDE ; METHANE EMISSIONS ; TERRESTRIAL BIOSPHERE ; FOOTPRINT PREDICTION ; ATMOSPHERIC METHANE ; SURFACE CARBON ; BOUNDARY-LAYER ; WATER-VAPOR ; AIRCRAFT ; TOWER
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/279198
专题气候变化
作者单位1.NASA, Goddard Space Flight Ctr, Atmospher Chem & Dynam Lab, Greenbelt, MD 20771 USA;
2.Univ Maryland Baltimore Cty, Joint Ctr Earth Syst Technol, Baltimore, MD 21228 USA;
3.ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville, MD USA;
4.NASA, Langley Res Ctr, Hampton, VA 23665 USA;
5.USDA Forest Serv, Northern Res Stn, Silas Little Expt Forest, New Lisbon, NJ USA;
6.North Carolina State Univ, Dept Forestry & Environm Resources, Raleigh, NC 27695 USA;
7.Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX USA;
8.Univ Delaware, Dept Plant & Soil Sci, Newark, DE 19717 USA
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Hannun, Reem A.,Wolfe, Glenn M.,Kawa, S. Randy,et al. Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region[J]. ENVIRONMENTAL RESEARCH LETTERS,2020,15(3).
APA Hannun, Reem A..,Wolfe, Glenn M..,Kawa, S. Randy.,Hanisco, Thomas F..,Newman, Paul A..,...&Vargas, Rodrigo.(2020).Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region.ENVIRONMENTAL RESEARCH LETTERS,15(3).
MLA Hannun, Reem A.,et al."Spatial heterogeneity in CO2, CH4, and energy fluxes: insights from airborne eddy covariance measurements over the Mid-Atlantic region".ENVIRONMENTAL RESEARCH LETTERS 15.3(2020).
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